Liqiang Lu, Aaron Morris, Tingwen Li, Sofiane Benyahia Extension of a coarse grained particle method to simulate heat transfer in fluidized beds http://www.sciencedirect.com/science/article/pii/S0017931016333129 Liqiang Lu, Aaron Morris, Tingwen Li, Sofiane Benyahia National Energy Technology Laboratory, Morgantown, WV 26507, United States
Highlights Heat transfer model is added to coarse grained particle method. The proposed model is verified and validated against accurate DEM and experimental data. The convection term and particle fluid wall conduction term are the dominant heat transfer mechanisms in fluidized bed.
MFIX-CGP: Hydrodynamics (g-s) and heat transfer Liqiang Lu, Aaron Morris, Tingwen Li, Sofiane Benyahia, Extension of a coarse grained particle method to simulate heat transfer in fluidized beds. Submitted to International Journal of Heat and Mass Transfer
MFIX-CGP: Hydrodynamics (g-s) and heat transfer
MFIX-CGP: Hydrodynamics (g-s) and heat transfer Experiment Simulation Xiao, Y.-f., Chen, Y.-y., Feng, Z.-y., Huang, X.-w., Huang, L., Long, Z.-q., Cui, D.-l., 2015. Leaching characteristics of ion-adsorption type rare earths ore with magnesium sulfate. Transactions of Nonferrous Metals Society of China 25, 3784-3790 A.V. Patil, E.A.J.F. Peters, J.A.M. Kuipers, Comparison of CFD–DEM heat transfer simulations with infrared/visual measurements, Chem. Eng. J., 277 (2015) 388-401.
Constant Temperature wall boundary condition Heat Transfer: Results Constant Temperature wall boundary condition CFD-DEM CGPM-8 CGPM-27
Heat Transfer: Results From (a) Particle-fluid convection term accounts for about 65% Particle-fluid-wall conduction accounts for about 35% Particle-wall contact conduction term accounts for less than 1% From (b,c,d) CGPM works well as the results with different statistic weight are almost identical The simulation speed of CGPM is about W1.5 faster than DEM (about 20~140 in this case)
Heat Transfer: Results The narrow distribution indicates that the bubbling fluidized bed is well mixed as most of the particles have similar temperature. The peak of the distribution profile is lower than that with adiabatic walls meaning the temperature distribution is less uniform. This is because with constant wall temperature boundary conditions the particles near this boundary will cool faster than those in the center due to the particle-fluid-wall conduction heat transfer. Temperature distribution profile is similar for simulation with different W